Data Engineering & Analytics Lead

- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Azure Data Factory.

- Build and optimize enterprise-grade data solutions using Databricks Lakehouse architecture and Delta Lake.

- Develop high-performance data transformation workflows and implement data quality controls.

- Create and maintain logical and physical data models to support reporting, analytics, and business intelligence requirements.

- Write and optimize complex SQL queries, stored procedures, views, and data transformation logic.

- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) for modern analytics platforms.

- Develop interactive dashboards, reports, and analytical solutions using Power BI.

- Collaborate with business stakeholders to understand reporting and analytics requirements.

- Ensure data governance, metadata management, and data cataloging best practices are followed.

- Implement performance optimization strategies across data pipelines, Databricks workloads, and reporting solutions.

- Leverage AI/LLM-enabled tools for data analysis, insight generation, and analytics acceleration.

- Work closely with cross-functional teams including Data Architects, Business Analysts, and Product Owners.

- Support CI/CD and version control practices for data engineering solutions.